Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches-Reference-Cited by-同舟云学术

Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches

Published:2024-01 Issue:1 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Qi Haonan¹,Zhou Zhipeng²^ORCID,Irizarry Javier³,Lin Dong⁴,Zhang Haoyu¹,Li Nan⁵,Cui Jianqiang⁶

Affiliation:

1. Ph.D. Candidate, Dept. of Management Science and Engineering, College of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China.

2. Associate Professor, Dept. of Management Science and Engineering, College of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 211106, China (corresponding author). ORCID: .

3. Professor, School of Building Construction, College of Design, Georgia Institute of Technology, Atlanta, GA 30332.

4. Researcher, School of Engineering, Univ. of Aberdeen, Aberdeen AB24 3FX, UK.

5. Professor, Dept. of Management Science and Engineering, College of Economics and Management, Nanjing Univ. of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China.

6. Senior Lecturer, School of Engineering and Built Environment, Griffith Univ., Nathan, Brisbane, QLD 4111, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5485

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4. A systematic review of the application of immersive technologies for safety and health management in the construction sector

5. A critical review of text-based research in construction: Data source, analysis method, and implications

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